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 同时校准与固定参数校准MWU策略在垂直量尺化构念漂移下的性能探讨(PDF)

《心理学探新》[ISSN:1003-5184/CN:36-1228/B]

期数:
 2025年01期
页码:
 63-71
栏目:
 心理统计与测量
出版日期:
 2025-02-20

文章信息/Info

Title:
 Comparison of Concurrent Calibration and Fixed-Parameter Calibration with Multiple Prior Weights Updating under the Impact of Construct Shift
文章编号:
1003-5184(2025)01-0063-09
作者:
 陈子豪1; 2; 黎光明1
 (1.华南师范大学心理学院,心理应用研究中心,广州 510631; 2.广州市干部和人才健康管理中心,广州 510530)
Author(s):
 Chen Zihao1; 2;  Li Guangming1
 (1.School of Psychology,Center for Studies of Psychological Application,South China Normal University,Guangzhou 510631; 2.Guangzhou Cadre and Talent Health Management Center,Guangzhou 510530)
关键词:
 垂直量尺化;  双因子模型;  构念漂移;  固定参数校准;  项目反应理论
Keywords:
 vertical scaling;  bifactor model;  construct shift;  fixed-parameter calibration;  item response theory
分类号:
 B841.2
DOI:
 -
文献标识码:
 A
摘要:
 旨在探究垂直量尺化数据违背跨年级同构性假设,即出现构念漂移时,同时校准与固定参数校准多先验更新策略在模型-数据不匹配条件下的性能表现,进而给出垂直量尺化中处理构念漂移的三步法。结果显示:(1)构念漂移在不同数据-模型匹配条件影响不同;(2)相较同时校准,固定参数校准多先验策略能够更有效减少构念漂移造成的误差;(3)实践中,应该综合构念漂移程度和样本量选择估计模型及校准方法。
Abstract:
 Construct invariance assumption is violated easily when conducting vertical scaling for more than four grade-groups.Construct shift can distort the developmental scale and lower the accuracy of parameter estimation.In order to find a better estimation method,this paper compared the performance of concurrent calibration and fixed-parameter calibration with multiple prior weights updating through a simulation experiment when construct shift exists.A 2(model:matched,mismatched)× 3(construct shift:0.25,0.5,1.0)× 3(sample size:500,1000,2000)common-item design was conducted,which including four grade-groupsResults indicate that construct shift has different effects on two estimated models.The FPC-MWU strategy effectively reduces errors caused by construct shift and has fewer base grade distance effect than concurrent calibration.In conclusion,practice reference is given for choosing most appropriate model and calibration method by considering the construct shift and sample size together.

参考文献/References

 叶萌,辛涛.(2014).垂直量尺化中的参数标定方法及其性能比较.心理科学进展,22(10),1669-1678.
Baker,F.B.,& Kim,S.-H.(Eds.).(2004).Item Response Theory:Parameter Estimation Techniques,Second Edition(2nd ed.).CRC Press.
Bolt,D.M.,Deng,S.,& Lee,S.(2014).IRT model misspecification and measurement of growth in vertical scaling.Journal of Educational Measurement,51(2),141-162.
Briggs,D.C.,& Weeks,J.P.(2009).The impact of vertical scaling decisions on growth interpretations.Educational and Measurement:Issues and Practice,28(4),3-14.
Cai,L.(2017).flexMIRT version 3.51:Flexible multilevel multidimensional item analysis and test scoring[Computer software].Chapel Hill,NC:Vector Psychometric Group.
Camilli,G.,Yamamoto,K.,& Wang,M.(1993).Scale shrinkage in vertical equating.Applied Psychological Measurement,17(4),379-388.
Carlson,J.E.(2017).Unidimensional vertical scaling in multidimensional space(pp.1-28).ETS Research Report Series.
Eastwood,M.(2014).The effects of construct shift and model-data misfit on estimates of growth using vertical scales[Unpublished doctoral dissertation].University of Connecticut.
Gotzmann,A.J.(2011).Comparison of vertical scaling methods in the context of NCLB[Unpublished doctoral dissertation].University of Alberta.
Gibbons,R.D.,& Hedeker,D.R.(1992).Full-information item bi-factor analysis.Psychometrika,57(3),423-436.
Holzinger,K.J.,& Swineford,F.(1937).The bi-factor method.Psychometrika,2,41-54.
Ip,E.H.(2010).Empirically indistinguishable multidimensional IRT and locally dependent unidimensional item response models.British Journal of Mathematical and Statistical Psychology,63(2),395-416.
Ip,E.H.,& Chen,S.H.(2012).Projective item response model for test-independent measurement.Applied Psychological Measurement,36(7),581-601.
Kang,T.,& Petersen,N.S.(2012).Linking item parameters to a base scale.Asia Pacific Education Review,13(2),311-321.
Kim,J.,Lee,W.,Kim,D.,& Kelley,K.(2009).Investigation of vertical scaling using the rasch model.[Conference].National Council on Measurement in Education,San Diego,CA,United States.
Kim,K.Y.(2018).A comparison of the separate and concurrent calibration methods for the full-information bifactor model.Applied Psychological Measurement,43(7),512-526.
Kim,K.Y.(2019).Two IRT fixed parameter calibration methods for the bifactor model. Journal of Educational Measurement,57(1),29-50.
Kim,S.,& Kolen,M.J.(2019).Application of IRT fixed parameter calibration to multiple-group test data.Applied Measurement in Education,32(4),310-324.
Kim,S.(2006).A comparative study of IRT fixed parameter calibration methods.Journal of Educational Measurement,43(4),355-381.
Koepfler,J.R.(2012).Examining the bifactor IRT model for vertical scaling in K-12 assessment[Unpublished doctoral dissertation].James Madison University.
Kolen,M.J.,& Brennan,R.L.(2014).Test equating,scaling,and linking:Methods and practices(3rd ed.).Springer.
Li,Y.(2011).Exploring the full-information bifactor model in vertical scaling with construct shift[Unpublished doctoral dissertation].University of Maryland.
Li,Y.,& Lissitz,R.W.(2012).Exploring the full-information bifactor model in vertical scaling with construct shift.Applied Psychological Measurement,36(1),3-20.
Martineau,J.A.(2004).The effects of construct shift on growth and accountability models[Doctoral dissertation,Michigan State University].ProQuest Information & Learning.
Meng,H.(2007).A comparison study of IRT calibration methods for mixed-format tests in vertical scaling[Unpublished doctoral dissertation].University of Iowa.
Reckase,M.D.,& Martineau,J.(2004).The vertical scaling of science achievement tests.Paper Commissioned by the Committee on Test Design for K-12 Science Achievement,Center for Education,National Research Council.
Reckase,M.D.(2009).Multidimensional item response theory.Springer.
Strachan,T.,Ip,E.,Fu,Y.,Ackerman,T.,Chen,S.H.,& Willse,J.(2020a).Robustness of projective IRT to misspecification of the underlying multidimensional model.Applied Psychological Measurement,44(5),362-375.
Strachan,T.,Cho,U.H.,Kim,K.Y.,Willse,J.T.,Chen,S.-H.,Ip,E.H.,Ackerman,T.A.,& Weeks,J.P.(2020b).Using a projection IRT method for vertical scaling when construct shift is present.Journal of Educational Measurement,58(2),211-235.
Wang,S.,& Jiao,H.(2009).Construct equivalence across grades in a vertical scale for a K-12 large-scale reading assessment.Educational and Psychological Measurement,69(5),760-777.
Yao,L.,& Boughton,K.A.(2007).A multidimensional item response modeling approach for improving subscale proficiency estimation and classification.Applied Psychological Measurement,31(2),83-105.
Yen,W.M.(1985).Increasing item complexity:A possible cause of scale shrinkage for unidimensional item response theory.Psychometrika,50(4),399-410.

备注/Memo

备注/Memo:
 基金项目:广东省哲学社会科学规划2024年度学科共建项目(GD24XXL03),广州市干部和人才健康管理中心课题(JGZX20230304)。
通信作者:黎光明,E-mail:Lgm2004100@sina.com。
更新日期/Last Update:  2025-02-20